diff --git a/python/paddle/fluid/dygraph/static_runner.py b/python/paddle/fluid/dygraph/static_runner.py
index 1f9b8d66fd76394ddd8becd4346a7cf4137dded1..779bbdb73df7d75d7ebdf34cd7303101b4367e20 100644
--- a/python/paddle/fluid/dygraph/static_runner.py
+++ b/python/paddle/fluid/dygraph/static_runner.py
@@ -27,9 +27,6 @@ from .. import backward
 from .base import switch_to_static_graph
 from ... import compat as cpt
 
-# Set Log level
-logging.getLogger().setLevel(logging.WARNING)
-
 # DESIGN IDEA: Add an special operator, execute static program inside operator.
 #
 # Op's Inputs:
@@ -397,7 +394,6 @@ class StaticModelRunner(layers.Layer):
             if params_filename is None:
                 if not self._is_parameter(each_var):
                     continue
-                # logging.info("persis var name %s" % each_var.name())
                 framework._dygraph_tracer().trace_op(
                     type='load',
                     inputs={},
@@ -442,7 +438,6 @@ class StaticModelRunner(layers.Layer):
         for param_name in self._parameters:
             param_grad_name = param_name + core.grad_var_suffix()
             if param_grad_name not in all_var_names:
-                logging.info("set %s stop gradient = True" % param_grad_name)
                 self._parameters[param_name].stop_gradient = True
 
     def _get_all_var_names(self, program_desc):
@@ -450,7 +445,6 @@ class StaticModelRunner(layers.Layer):
         for i in six.moves.range(program_desc.num_blocks()):
             block = program_desc.block(i)
             for var in block.all_vars():
-                logging.info(var.name())
                 all_var_names.add(var.name())
         return all_var_names